Applied Mathematics for AI Systems

This course is an introduction to the essential mathematics used in Artificial Intelligence Systems. The three main units are: (1) calculus; (2) algebra; (3) statistics and probability. The topics included (but not limited to) are: functions, differentiation, optimization, partial derivatives, linear algebra, matrices, system of equations, eigenvalues, eigenvectors, statistics, probability, distributions, confidence intervals, hypothesis testing, regression and correlation.